@inproceedings{d80f2625736e44a2b492c16f733e1913,
title = "Sub-band based additive noise removal for robust speech recognition",
abstract = "To make an automatic speech recognition system robust with respect to noise, we will probably have to solve two problems. One is the detection and identification of noise. Another is the consideration of noise effect during recognition process. In this paper, we will investigate several noise estimation approaches, such as moving average, long-Term average, longterm Fourier analysis, etc. We will then introduce a sub-band based scheme to remove the noise effect from corrupted speech to make recognition system immune to additive noise. We will report on experiments on TI digits database and NOISEX database to justify the proposed approach.",
author = "J. Chen and Paliwal, {K. K.} and S. Nakamura",
year = "2001",
language = "英语",
series = "EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology",
publisher = "International Speech Communication Association",
pages = "571--574",
editor = "Borge Lindberg and Henrik Benner and Paul Dalsgaard and Zheng-Hua Tan",
booktitle = "EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology",
note = "7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 ; Conference date: 03-09-2001 Through 07-09-2001",
}